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NEWS
25/06/2020
Corporate

Z43 Goes Carbon Dioxide-Free

As part of our effort to help create a sustainable and healthier future, energy at Z43 is now 100% renewable, which will lead to a reduction in CO2 emissions of more than 60,000 m3 per year – corresponding to about twenty times the CO2 footprint of the average Swiss.

For the past 20 years, we have produced the heating energy for the Z43 headquarters in Zurich – home to the IT’IS Foundation, Schmid & Partner Engineering AG, and ZMT Zurich MedTech AG – as well as supplied adjacent residential buildings with more than 79 apartments with natural gas. Our labs, on the other hand, were cooled via a small heat pump powered by electricity. Though gas is “cleaner” than oil or coal, we strongly felt that it was time to switch from fossil fuels to renewable sources of power in order to run our work lives more sustainably.

niels roof panels web

niels basement heating web

So we finally got rid of the gas burners in our basement and invested heavily in a new energy system. The newly installed 500 kW heat pump now heats and cools the various buildings by exchanging heat with the groundwater stream that runs 30 m below our premises. In addition, because our labs and servers produce more heating energy than we can use during the summer, we replaced the warm-water panels on the roof with photovoltaic cells to generate our electric power. We also took care to only subscribe to companies that exclusively generate electricity by hydro, wind, and solar power. This complements our internal policy that Z43 staff should only commute by car to work in exceptional circumstances (e.g., it was appropriate to do so during the COVID-19 pandemic).

We are proud that we have started to generate our own energy and have become largely CO2-free at Z43.

Curious how it looks? Check out our CO2-free energy production by clicking on the leaf:

leaf slogan mm3

The leaf can also be found in the header of any of our webpages: IT’IS Foundation, SPEAG, ZMT, and Zurich43.

Z43 – Think Renewable!

Sim4Life

23/01/2018

Contact
s4l-sales@zmt.swiss

 

Major ViP Extension: Morphing of Virtual Population Models Broadens BMI Population Coverage

Long-awaited breakthrough achieved with release of morphed ViP models that cover slender to obese subjects.

 
Corporate

18/12/2017

Contact
info@zmt.swiss

 

Winter 2017 Info Day at Z43

On Thursday, December 14, Niels Kuster delivered his annual "State of Z43" report to all employees. The presentation was followed by an apéro, where Niels was presented with a life-size portrait of himself!

 
Corporate

12/12/2017

Contact
info@zmt.swiss

 

ZMT Hosts Horizon 2020/EMPIR PerfusImaging Progress Meeting

ZMT hosted a 2-day meeting of the researchers working on the Horizon 2020/EMPIR PerfusImaging project to review progress and plan future research tasks.

 
Sim4Life

14/11/2017

Contact
s4l-sales@zmt.swiss

 

ITIS receives NIH Award for o2S2PARC project

Success for our Z43 partner IT’IS who has been selected to lead the Modeling and Simulation Core (SIM-CORE) of the NIH Stimulating Peripheral Activity to Relieve Conditions (SPARC) program.

 
Corporate

13/11/2017

Contact
info@zmt.swiss

 

Future Photonics Engineers! Z43 Future Day 2017

On Thursday, November 9, nine preteens participated in the 2017 edition of Swiss National Future Day at Z43 to assemble their own photo-active circuits and build light-sensitive robots.

 
Sim4Life

09/11/2017

Contact
s4l-sales@zmt.swiss

 

Sim4Life Workshop @ Neuroscience 2017

Our workshop ‘Sim4Life - In Silico Solutions for Advanced Electroceuticals’ to be held at the Marriott Marquis Hotel in Washington DC on 14 November 2017 during the Society for Neuroscience 2017 Annual Meeting. The workshop will feature in-house experts and external guests to illustrate current efforts and perspectives concerning in silico multiscale modeling in the context of bioelectronic medicine.

 
Validation HW

07/11/2017

Contact
info@zmt.swiss

 

New Microphotonic Voltage Probe RFoF1P4MED

ZMT's is pleased to announce its novel RFoF1P4MED technology to reliably determine the risk of device malfunction due to RF-exposure during an MRI exam.

 
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